How to Use the MailerLite MCP in Mastra AI

Q: Does MailerLite work with Mastra AI agent memory?

The agents store the results of listsegments in their session memory. This allows them to reference your audience structure across multiple steps of a workflow.

Build complex subscriber workflows in Mastra AI with this MailerLite MCP Server.

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Connect MailerLite MCP to Mastra AI

Create your Vinkius account to connect MailerLite to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MailerLite with Mastra AI

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Perplexity

Automated subscriber lifecycles for Mastra AI

Construct multi-step agent workflows that handle user onboarding. Use `create_subscriber` followed by `add_subscriber_to_group` to ensure every new lead is sorted correctly. If the API is busy, the agent retries the call. This ensures your lists stay consistent even if network conditions fluctuate.

Conditional list logic in Mastra AI

Branch your agent logic based on existing subscriber status. Use `get_subscriber` to check if a user is already active before deciding to send a welcome email. This prevents redundant actions and keeps your marketing data clean. It gives your agents the context they need to make smart decisions.

Scheduled list cleanup with Mastra AI

Run maintenance tasks to prune your lists using `delete_subscriber`. You can set your agents to trigger these cleanups based on specific criteria or time intervals. It keeps your account within limits and ensures you aren't paying for junk records. The agent handles the heavy lifting in the background.

Setup guide

Set up MailerLite MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All MailerLite tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "mailerlite-mcp-client",
  servers: {
    "mailerlite-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "MailerLite Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to MailerLite tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent MailerLite transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MailerLite. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about MailerLite MCP in Mastra AI

Add the server URL to your Mastra MCP configuration. Once connected, your agents can call `list_groups` and other tools to manage your marketing account.

Yes, you can configure the agent to respect API pacing. If you encounter a limit, the workflow engine manages the retry logic automatically.

The agents store the results of `list_segments` in their session memory. This allows them to reference your audience structure across multiple steps of a workflow.

Check your agent logs for the output of each tool call. Every operation returns a status or data object you can inspect to confirm success.

All traffic is handled through encrypted endpoints. We only touch the specific subscriber data needed to execute the tool commands you define.

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